This article describes in detail an n-gram approach to statistical machine translation. This
approach consists of a log-linear combination of a translation model based on n-grams of …

The purpose of this paper is to provide guidelines for building a word alignment evaluation
scheme. The notion of word alignment quality depends on the application: here we review …

In this paper we describe an elegant and efficient approach to coupling reordering and
decoding in statistical machine translation, where the n-gram translation model is also …

Abstract In Statistical Machine Translation, the use of reordering for certain language pairs
can produce a significant improvement on translation accuracy. However, the search …

This paper describes a statistical machine translation system that uses a translation model
which is based on bilingual n-grams. When this translation model is log-linearly combined …

This paper reports our participation on the text normalization shared task campaign
organized by the CAW 2.0 workshop. Through a Statistical Machine Translation (SMT) …

This work summarizes a comparison between two approaches to Statistical Machine
Translation (SMT), namely Ngram-based and Phrase-based SMT. In both approaches, the …

This paper addresses the problem of reordering in statistical machine translation (SMT). We
describe an elegant and efficient approach to couple reordering (word order …

In this paper we present how to estimate a continuous space Language Model with a Neural
Network to be used in a Statistical Machine Translation system. We report results for an …

Proceedings of the... Page 1 Proceedings of the ACL Workshop on Building and Using
Parallel Texts, pages 133–136, Ann Arbor, June 2005. cOAssociation for Computational …